Principal Engineer Supplier Quality
Northrop Grumman · Salt Lake City, UT · 3 wk ago
On-siteQuality AssuranceFull-time
About the role
The role involves developing advanced algorithms for autonomous systems. This includes designing and implementing machine learning models, conducting experiments, and analyzing results.
Responsibilities
- Develop and optimize machine learning models for autonomous systems
- Conduct experiments to test model performance and gather data
- Analyze experimental results and refine models accordingly
- Collaborate with cross-functional teams to integrate models into system architecture
Requirements
Must have a Master's degree in Computer Science, Electrical Engineering, or a related field. Experience with Python, TensorFlow, and deep learning frameworks is essential.
Qualifications
- Strong background in computer science and engineering
- Experience with machine learning and deep learning techniques
- Proficiency in Python and TensorFlow
- Excellent problem-solving skills and attention to detail
Skills
- Machine Learning
- Deep Learning
- Python
- TensorFlow
- Data Analysis
Benefits
Competitive salary, comprehensive health insurance, flexible work schedule, professional development opportunities, and a supportive team environment.
Pay
$100,000 - $120,000 annually
Schedule
Full-time, Monday through Friday, 9 AM to 5 PM